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We look at price formation in a retail setting, that is, companies set prices, and consumers either accept prices or go someplace else. In contrast to most other models in this context, we use a two-dimensional spatial structure for…

Adaptation and Self-Organizing Systems · Physics 2009-10-31 Kai Nagel , Martin Shubik , Maya Paczuski , Per Bak

Widely used software systems such as video encoders are by necessity highly configurable, with hundreds or even thousands of options to choose from. Their users often have a hard time finding suitable values for these options (i.e. finding…

Software Engineering · Computer Science 2023-02-23 Luc Lesoil , Mathieu Acher , Arnaud Blouin , Jean-Marc Jézéquel

We model evolution of plants in a world, made up of different locations, with multiple environments (mutually exclusive and collectively exhaustive subsets of locations). Each environment (landmass) has temperature, rainfall, and other…

Populations and Evolution · Quantitative Biology 2019-05-27 Alexander , Khazatsky , Albert Yu , Zihao Zhao , Gabe Zuckerman

The velocity field and the height at the surface of a dynamic ice sheet are observed. The ice sheets are modeled by the full Stokes equations and shallow shelf/shelfy stream approximations. Time dependence is introduced by a kinematic free…

Computational Physics · Physics 2020-01-27 Gong Cheng , Per Lötstedt

Heat transfer via phase change is a major contributor to heat removal in numerous engineering applications. Thin films of liquid result in increased heat transfer due to a reduction of conduction resistance, in addition the pressure jump at…

Applied Physics · Physics 2020-04-17 Mohammad Rezaeimoghaddam , Zafer Dursunkaya

Traditional approaches for complementary product recommendations rely on behavioral and non-visual data such as customer co-views or co-buys. However, certain domains such as fashion are primarily visual. We propose a framework that…

Computer Vision and Pattern Recognition · Computer Science 2018-09-11 Cong Phuoc Huynh , Arridhana Ciptadi , Ambrish Tyagi , Amit Agrawal

Evolutionary models are used to study the self-organisation of collective action, often incorporating population structure due to its ubiquitous presence and long-known impact on emerging phenomena. We investigate the evolution of…

Populations and Evolution · Quantitative Biology 2023-04-20 Diogo L. Pires , Igor Erovenko , Mark Broom

Explanations are central to improving transparency, trust, and user satisfaction in recommender systems (RS), yet it remains unclear how different explanation formats (visual vs. textual) are suited to users with different personal…

Human-Computer Interaction · Computer Science 2026-03-27 Qurat Ul Ain , Mohamed Amine Chatti , Nasim Yazdian Varjani , Farah Kamal , Astrid Rosenthal-von der Pütten

In this paper, we explain the reasons behind constraint interaction, which is the phenomenon that the results of testing equality constraints may depend heavily on the scaling method used. We find that the scaling methods interfere with the…

Methodology · Statistics 2018-05-01 Stefan Klößner , Eric Klopp

Tree-based algorithms such as random forests and gradient boosted trees continue to be among the most popular and powerful machine learning models used across multiple disciplines. The conventional wisdom of estimating the impact of a…

Machine Learning · Statistics 2022-01-03 Markus Loecher , Qi Wu

Modern evolvements of the technologies have been leading to a profound influence on the financial market. The introduction of constituents like Exchange-Traded Funds, and the wide-use of advanced technologies such as algorithmic trading,…

Statistical Finance · Quantitative Finance 2021-08-20 Liao Zhu

We propose a mechanism design framework that incorporates both soft information, which can be freely manipulated, and semi-hard information, which entails a cost for falsification. The framework captures various contexts such as school…

Theoretical Economics · Economics 2024-03-14 Eduardo Perez-Richet , Vasiliki Skreta

Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of statistical…

Machine Learning · Statistics 2012-04-03 Ryan A. Rossi , Luke K. McDowell , David W. Aha , Jennifer Neville

We investigate the dynamics of increasing the number of model parameters versus the number of labeled examples across a wide variety of tasks. Our exploration reveals that while scaling parameters consistently yields performance…

Computation and Language · Computer Science 2021-10-12 Yuval Kirstain , Patrick Lewis , Sebastian Riedel , Omer Levy

This work examines how the dependence structures between energy futures asset prices differ in two periods identified before and after the 2008 global financial crisis. These two periods were characterised by a difference in the number of…

Applications · Statistics 2023-03-31 Clara Grazian , Alex McInnes

The cost of deriving actionable knowledge from large datasets has been decreasing thanks to a convergence of positive factors: low cost data generation, inexpensively scalable storage and processing infrastructure (cloud), software…

Databases · Computer Science 2016-04-22 Paolo Missier , Jacek Cala , Eldarina Wijaya

During the life cycle of an XML application, both schemas and queries may change from one version to another. Schema evolutions may affect query results and potentially the validity of produced data. Nowadays, a challenge is to assess and…

Programming Languages · Computer Science 2008-11-27 Pierre Genevès , Nabil Layaïda , Vincent Quint

BRDF models are ubiquitous tools for the representation of material appearance. However, there is now an astonishingly large number of different models in practical use. Both a lack of BRDF model standardisation across implementations found…

Graphics · Computer Science 2018-08-22 Alejandro Sztrajman , Jaroslav Krivanek , Alexander Wilkie , Tim Weyrich

Adaptation refers to the ability to recover and maintain ``normal'' function upon perturbations of internal or external conditions and is essential for sustaining life. Biological adaptation mechanisms are dissipative, i.e. they require a…

Statistical Mechanics · Physics 2025-03-20 Jorge Tabanera-Bravo , Aljaž Godec

We look more carefully at the modeling of causality using structural equations. It is clear that the structural equations can have a major impact on the conclusions we draw about causality. In particular, the choice of variables and their…

Artificial Intelligence · Computer Science 2011-06-15 Joseph Y. Halpern , Christopher Hitchcock
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